Abstract: The present application relates generally to in-home monitoring and an early health crisis alarm system for elderly individuals and patients with chronic diseases. In one aspect, using artificial intelligence and signals from electricity usage, water usage, ballistocardiography (BGC), and ultra-wideband radar, the system and methods may be used to identify and track daily human activities and physical status in the home. Anomalies to patterns can be determined by identifying disruptions in previously established patterns.

Abstract: The present application relates generally to in-home monitoring and an early health crisis alarm system for elderly individuals and patients with chronic diseases. In one aspect, using artificial intelligence and signals from electricity usage, water usage, ballistocardiography (BGC), and ultra-wideband radar, the system and methods may be used to identify and track daily human activities and physical status in the home. Anomalies to patterns can be determined by identifying disruptions in previously established patterns.

Abstract: The present application relates generally to a monitoring system to assist with aging-in-place for elderly individuals and patients with chronic diseases either living at home, senior living or assisted living facilities. In one aspect, integrating the use machine learning and signals from an interoperable system of electricity usage, water usage, ballistocardiography (BGC), and ultra-wideband radar, WiFi based computer visioning, infrared. The system and methods may be used to identify and track common daily human activities, instrumental daily living activities, the patient or elderly personal physical status in the home or at senior and assisted living facilities. Anomalies to patterns can be determined by identifying disruptions in previously established patterns.

Abstract: A system comprises a server computing device comprising a processor and a memory. The memory stores instructions executable by the processor to receive data from one or more devices in a customer premises indicative of a physical state of an occupant of the customer premises; apply one or more predictive models to the data from the customer premises to correlate output from one or more predictive models to an occupant condition; and actuate an action based on output of applying the one or more predictive models.